TR32-Database: Database of Transregio 32

[690] - Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments - A review

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Fiener, P., Auerswald, K., van Oost, K., 2011. Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments - A review. Earth-Science Reviews, 106, 92 - 104. DOI: 10.1016/j.earscirev.2011.01.004.
Identification
Title(s):Main Title: Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments - A review
Description(s):Abstract: Surface runoff and associated erosion processes adversely affect soil and surfacewater quality. There is increasing evidence that a sound understanding of spatial-temporal dynamics of land use and management are crucial to understanding surface runoff processes and underpinning mitigation strategies. In this review,we synthesise the effects of (1) temporal patterns of land management of individual fields, and (2) spatio-temporal interaction of several fields within catchments by applying semivariance analysis, which allows the extent and range of the different patterns to be compared. Consistent effects ofmanagement on the temporal dynamics of surface runoff of individual fields can be identified, some ofwhich have been incorporated into small-scale hydrologicalmodels. In contrast, the effects of patchiness, the spatial organisation of patcheswith different soil hydrological properties, and the effects of linear landscape structures are lesswell understood and are rarely incorporated inmodels. The main challenge for quantifying these effects arises from temporal changes within individual patches, where the largest contrasts usually occur in mid-summer and cause a seasonally varying effect of patchiness on the overall catchment response. Some studies indicate that increasing agricultural patchiness, due to decreasing field sizes, reduces the catchment-scale response to rainfall, especially in cases of Hortonian runoff. Linear structures associated with patchiness of fields (e.g. field borders, ditches, and ephemeral gullies) may either increase or decrease the hydraulic connectivity within a catchment. The largest gap in research relates to the effects and temporal variation of patch interaction, the influence of the spatial organisation of patches and the interaction with linear structures. In view of the substantial changes in the structure of agricultural landscapes occurring throughout the world, it is necessary to improve our knowledge of the influence of patchiness and connectivity, and to implement this knowledge in new modelling tools.
Identifier(s):DOI: 10.1016/j.earscirev.2011.01.004
Responsible Party
Creator(s):Author: Peter Fiener
Author: Karl Auerswald
Author: Kristof van Oost
Publisher:Elsevier
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Surface Runoff, Land Use, Land Management, Patchiness, Connectivity
File Details
File Name:2011_Fiener_ESR.pdf
Data Type:Text
Size(s):13 Pages
File Size:1963 kB (1.917 MB)
Date(s):Date Accepted: 2011-01-21
Available: 2011-01-31
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2011
Type:Article
Article Type:Journal
Source:Earth-Science Reviews
Volume:106
Number Of Pages:13
Page Range:92 - 104
Metadata Details
Metadata Creator:Peter Fiener
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:C3
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:195
Metadata Downloads:0
Dataset Downloads:4
Dataset Activity
Features